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Google DeepMind Achieves Historic AI Milestone in Problem Solving

In an era where artificial intelligence swiftly evolves and redefines the boundaries of possibility, Google DeepMind has once again taken ...
JSTOR Daily

A Novel Ant Colony Optimization Algorithm For The Shortest-path Problem In Traffic Networks

The Ant Colony Optimization (ACO) algorithm is a metaheuristic nature-inspired technique for solving various combinatorial optimization problems. The shortest-path problem is an important ...
Ars Technica

How a grad student got LHC data to play nice with quantum interference

Measurements at the Large Hadron Collider have been stymied by one of the most central phenomena of the quantum world. But now, a young researcher has championed a new method to solve the problem ...
Phys.org

Using geometry and physics to explain feature learning in deep neural networks

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...
Rochester Institute of Technology

Fixing the forgetting problem in artificial neural networks

An RIT scientist has been tapped by the National Science Foundation to solve a fundamental problem that plagues artificial neural networks. Christopher Kanan, an assistant professor in the Chester F.
VentureBeat

How MIT’s Liquid Neural Networks can solve AI problems from robotics to self-driving cars

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more In the current artificial intelligence (AI ...